Thesis: An Image and Natural Language Processing Intelligence for Preliminary Damage Assessment After Disasters
GPA: 3.70 — Funded by TÜBİTAK & YÖK
YAPAY ZEKA MÜHENDİSİ
VERİ BİLİMCİ
GİRİŞİMCİ
EĞİTMEN
ARAŞTIRMACI
YAZILIM MÜHENDİSİ
Development of an artificial intelligence service for the automatic OCR (Optical Character Recognition) of
various meter Images and videos
Development of NLP models to extract entities and relations from patology reports.
Development of a clinical trial matching algorithm.
Creating a Customer Relationship Management (CRM) Software Using the GPT API and Integrating It with a WhatsApp Business
Developement of Google Maps, Shopier and Shopify Data Scraper and Auto Message Service
And others 🙂
Thesis: An Image and Natural Language Processing Intelligence for Preliminary Damage Assessment After Disasters
GPA: 3.70 — Funded by TÜBİTAK & YÖK
With a strong background in engineering, I developed sharp analytical thinking and a deep understanding of system design and optimization. This mindset now drives my work in AI, where I build scalable and resilient intelligent systems.
Tarkan Karaçay